Changes
On July 16, 2024 at 1:21:01 PM UTC, rivas:
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Changed title to Detecting clusters of relatedness between Countries-Indicators (previously Demo: Communities over CoyPu Knowledge Graph)
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Updated description of Detecting clusters of relatedness between Countries-Indicators from
Detecting clusters of relatedness between Countries-Indicators
toCoyPu Knowledge Graph (KG) contains a huge amount of data about all the countries worldwide, including each country's performance based on thousands of indicators presented in the World Bank datasets. An indicator refers to a specific metric measuring a particular aspect of economic, social, or environmental development. We aim to detect communities of Country-Indicator and predict relationships between them. We follow a hybrid AI framework that employs inductive learning to identify a partitioning of nodes within a KG. The proposed framework comprises four design patterns describing the sub-systems that implement the tasks mentioned above toward solving the problem of detecting communities.
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n | 47 | "notes": "Detecting clusters of relatedness between | n | 47 | "notes": "CoyPu Knowledge Graph (KG) contains a huge amount of data |
48 | Countries-Indicators", | 48 | about all the countries worldwide, including each country's | ||
49 | performance based on thousands of indicators presented in the World | ||||
50 | Bank datasets. An indicator refers to a specific metric measuring a | ||||
51 | particular aspect of economic, social, or environmental development. | ||||
52 | We aim to detect communities of Country-Indicator and predict | ||||
53 | relationships between them.\r\nWe follow a hybrid AI framework that | ||||
54 | employs inductive learning to identify a partitioning of nodes within | ||||
55 | a KG. The proposed framework comprises four design patterns describing | ||||
56 | the sub-systems that implement the tasks mentioned above toward | ||||
57 | solving the problem of detecting communities.", | ||||
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